Adaptation Agents Observations

该数据集包含了在微服务架构中所有节点上运行的适配代理收集的观测数据，其中包括CPU使用率、内存使用率、磁盘空间以及网络I/O信息。此外，该数据集还支持验证所提出的自适应性架构以及DRQN实现的有效性。其任务是对不同强化学习算法在微服务架构自我适应性方面的性能进行评估。This dataset comprises observational data collected by adaptive agents running on every node within a microservices architecture, including CPU utilization, memory usage, disk space, and network I/O information. Furthermore, this dataset enables the validation of the effectiveness of the proposed adaptive architecture and DRQN implementation. Its core task is to evaluate the performance of diverse reinforcement learning algorithms with respect to their self-adaptation capabilities for microservices architectures.